This thesis presents a study on spatial-temporal analysis of building surface temperatures in Hung Hom. Observations were collected from Aug 2013 to Oct 2013 at a 30-min interval, using iButton sensors (N=20) covering twelve locations in Hung Hom. And thermal images were captured in the Hong Kong Polytechnic University (PolyU) from 05 Aug 2013 to 06 Aug 2013. A linear regression model of iButton and thermal records was used to calibrate temperature data. A 3D modeling system was developed based on Visual Studio 2010 development platform, using ArcEngine10.0 component, Microsoft Access 2010 database, and C# programming language. The system realizes processing data, spatial analysis, compound query and 3D face temperature rendering. After statistical analyses, building face azimuths are found to have a significant relationship with sun azimuths at temperature peak time. And seasonal building temperature changing also corresponds to the sun angle and sun azimuth variations. The top layer has higher temperatures in the daytime and larger temperature difference than bottom one from August to October. Building materials are found to have a significant effect on building surface temperatures. Buildings with lower albedo materials tend to have higher temperatures and larger thermal conductivity material have significant diurnal variations. For the geographical locations, the peripheral faces of campus have higher temperatures than the inner faces during day time and buildings located at the southeast are cooler than the western. Furthermore, human activity is found to have a strong relationship with building surface temperatures through weekday and weekend comparison.